Assistant Professor of OR/Stat at MIT. Past: postdoc UC Berkley, PhD Harvard. Interested in incentive-aware ML, bandits, mechanism design & public policy. šāāļø
š¢ Asu Ozdaglar and I are hiring a postdoc for next year to work on adaptive, ethically-informed decision systems, humanāAI collaboration, and decision-making under uncertainty. More info here: charapodimata.com/postdoc_anā¦.
Nicolas Emmenegger is presenting our work on "Strategy-Aware Regression Discontinuity Designs"
When/where: Monday 10/27 at 11 - 12.15pm, GWCC Building B Level 3 B315 (4/n)
We've got the next episode of the learning theory podcast, Probably Approximately Correct Learners!
This episode is with Samuel B. Hopkins at MIT -- check it out!
We have a new paper out today, and Iām so proud of it and the work that went into creating it! Link here: arxiv.org/pdf/2509.18446v1.
The 2024 US presidential election was the first major election in the US since the popularization of LLMs. (1/6)
(iii) interrogate the modelsā beliefs about candidatesā attributes, and (iv) reveal the modelsā implicit predictions of the election outcome. Weāre making the dataset publicly available and invite researchers to run their own analyses on it: huggingface.co/datasets/sara⦠(5/6)
This was a massive effort spearheaded by @cen_sarah, and in collaboration with @andrew_ilyas, @HediDriss, Charlotte Park, Aspen Hopkins, and @aleks_madry.
Happy to discuss further with anyone who's interested in learning more! (6/6)
Starting in research is hard... So many papers, and they're written for experts!
In a new initiative, Learning Theory Alliance is featuring ~monthly technical blog posts, highlighting recent results in an accessible manner.
Follow us on Twitter to not miss out! 1st post š: 1/2
FORC 2023 call for papers! responsiblecomputing.org/calā¦
Abstract deadline: February 7 AOE
Full paper deadline: February 9 AOE
The conference also includes a non-archival track for papers that have appeared in other conferences.
Send your best work!
Our last speaker of the semester is Bailey Flanigan, who will talk about her work on "The Power of Altruism in Voting". More info here: toc4fairness.org/toc4fairnesā¦
As usual, this Wednesday 9-10am PST/12-1pm EST on zoom.
This coming Monday, Dec 5, I'm giving a tutorial on incentive-aware ML and the different perspectives that researchers have studied! The tutorial is part of #NeurIPS22 and you can find more info here: nips.cc/virtual/2022/tutoriaā¦. The tutorial will be followed by a panel 1/3
consisting of an incredible lineup of folks (Avrim Blum, @mjagadeesan25, Jon Kleinberg, @CeleMenDu, @jenn) who have kindly agreed to share their views on the past, present, and future of the field. 2/3